{"product_id":"building-agentic-ai-workflows-muzzammil-khan-9798241515667","title":"Building Agentic AI Workflows","description":"The last decade of AI has been shaped primarily by passive generative models-systems that excel at producing outputs when asked, but that do not \u003ci\u003einitiate\u003c\/i\u003e, \u003ci\u003eplan\u003c\/i\u003e, or \u003ci\u003eact\u003c\/i\u003e in the world. As organizations increasingly need intelligent systems capable of autonomy, adaptation, and goal-driven behavior, a new paradigm has emerged: \u003cb\u003eAgentic AI\u003c\/b\u003e. \u003cp\u003e\u003c\/p\u003eAgentic AI elevates models from static tools to \u003cb\u003eactive, decision-making entities\u003c\/b\u003e that perceive, reason, act, and learn continuously. Instead of generating content on demand, Agentic AI systems operate as \u003cb\u003eautonomous software components\u003c\/b\u003e-capable of coordinating workflows, manipulating tools, adapting to environments, and collaborating with other agents or humans. \u003cp\u003e\u003c\/p\u003e\u003ci\u003e\u003cb\u003eBuilding Agentic AI Workflows\u003c\/b\u003e\u003c\/i\u003e attempts to document the full landscape of modern agentic systems - from cognitive foundations and memory architectures to multi-agent orchestration, tool-use pipelines, reliability engineering, and enterprise-scale deployment. \u003cp\u003e\u003c\/p\u003eIt has a simple goal: provide a clear, engineering-ready guide to designing, deploying, and scaling agentic systems - complete with flow diagrams, real-world examples, and hands-on code. It provides the necessary tools to build the next generation of adaptive AI systems. \u003cp\u003e\u003c\/p\u003eIt is divided in 2 parts. Part-I focuses on the \u003cb\u003ecognitive, mathematical, and architectural principles\u003c\/b\u003e that define what an AI agent \u003ci\u003eis\u003c\/i\u003e and how it behaves within an environment. It dives deep into topics like Intro to Agentic AI \u0026amp; its Computational Foundations, Modular Agent Design, Building the Agentic AI Stack, Python Engineering Toolkit, and Agent Memory \u0026amp; Learning. Part-II expands from theory into \u003cb\u003ereal-world engineering\u003c\/b\u003e, where agents operate as part of larger, structured workflows. It dives deep into topics like Multi-agent collaboration \u0026amp; communication protocols; Workflow orchestration \u0026amp; role delegation; Action pipelines, Agentic evaluation, metrics, and safety constraints; Infrastructure, APIs, and deployment at enterprise scale; and production-ready architectures.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Muzzammil Khan\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798241515667\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 12\/28\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 768\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 2.86lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.25h x 7.50w x 1.53d","brand":"Muzzammil Khan","offers":[{"title":"Paperback","offer_id":48517119377663,"sku":"9798241515667","price":39.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_20c5beec-3345-4acb-aef1-ecce83bc23d1.jpg?v=1778730031","url":"https:\/\/www.whiterainbookhouse.com\/products\/building-agentic-ai-workflows-muzzammil-khan-9798241515667","provider":"WR Book House","version":"1.0","type":"link"}